This repository contains a (CNN) deep learning model for classifying medical images of parasites into various species. The model is trained to recognize and differentiate between different parasite species commonly found in medical and biological imaging data. This task for a kaggle comptetion hosted on this link. Our team name is Champion Team, find our rank!!!
Check our deployment in hugging face here [old].
Dataset sources:
The model is trained to classify images into the following parasite species:
| Label | Description |
|---|---|
| 0 | Ascariasis |
| 1 | Babesia |
| 2 | Capillaria philippinensis |
| 3 | Enterobius vermicularis |
| 4 | Epidermophyton floccosum |
| 5 | Fasciolopsis buski |
| 6 | Hookworm egg |
| 7 | Hymenolepis diminuta |
| 8 | Hymenolepis nana |
| 9 | Leishmania |
| 10 | Leukocyte 400X |
| 11 | Leukocyte 1000X |
| 12 | Opisthorchis viverrine |
| 13 | Paragonimus spp |
| 14 | Plasmodium |
| 15 | Trichophyton rubrum (T. rubrum) |
| 16 | Taenia spp |
| 17 | Toxoplasma |
| 18 | Trichomonad |
| 19 | Trichuris trichiura |
| 20 | Trypanosome |